"Yahoo Finance MCP (Model Context Protocol) Server" matching MCP servers:

Provides access to real-time stock prices, financial statements, news, and options data via the Model Context Protocol. It enables AI assistants to retrieve comprehensive market data, including historical prices and analyst recommendations, through a standardized interface.

Local-first personal finance MCP that aggregates bank, brokerage, credit, and loan accounts via Plaid and writes balances, holdings, and transactions to an Obsidian-style markdown vault, with access tokens stored securely in macOS Keychain.

An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.

An MCP server that gives AI assistants read access to real brokerage accounts and market data, with 39 tools for prices, technical analysis, SEC filings, and macro indicators, while order execution requires human approval via a separate dashboard.

Runs a task through 3 parallel AI models (China or USA preset) and returns concise responses for Claude to synthesize.

Self-hosted, read-only MCP server that connects banks, credit cards, loans, and brokerage accounts via Plaid. 9 tools for balances, transactions, recurring charges, liabilities, and investment holdings.

An MCP server that exposes tools for sub-agent style reasoning across multiple LLM providers, enabling delegation of prompts to various models and running critique loops, debates, red-teaming, and answer ranking.

Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.

A system for defining, composing, and managing task-specific contexts for AI-powered development, enabling consistent, high-quality results.

Tracks personal expenses with tools to add, edit, and summarize expenses, storing data locally in SQLite.

Enables AI assistants to securely manage and analyze personal finances through natural language, with full control over data via a private PostgreSQL database.

MCP server for the SheetsFinance formula catalog, enabling search and construction of financial formulas for Google Sheets.

A scoped aggregator MCP server that routes intent to the 4-7 relevant finance tools from a 43-tool catalog, reducing token cost and improving tool-selection accuracy.

Universal work attestation for autonomous agents. Register any AI agent or machine with persistent cryptographic identity, attest completed work with tamper-evident on-chain records, and query trust scores. The reputation layer for the agent economy. 3 MCP tools over SSE. Settled on Solana.

Enables assistants to read-only explore and analyze Grafana dashboards and data sources, execute queries against Prometheus and Azure Log Analytics, and run guided investigation workflows.

Context+ is a semantic intelligence server that transforms codebases into searchable, hierarchical feature graphs using RAG, Tree-sitter AST, and spectral clustering. It provides tools for deep code discovery, blast radius analysis, and memory graph management for high-accuracy engineering tasks.

An MCP server providing Model-usable tools to fetch real-time quotes, historical price charts, fundamental datasets, SEC filings, economic/earnings calendars, option chains, and corporate bond data from TradingView.

Compress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.

Provides a local SQLite-backed code context knowledge base with MCP tools for storing and querying code facts, call graphs, semantic info, evidence, and business mappings, plus versioned snapshot publishing and incremental sync.

An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.